Virus-like Iron-Gold Heterogeneous Nanoparticles for Drug Target Screening

Drug-target recognition has great impacts on revealing mechanisms of pharmacological activities, especially drug resistance and off-target effects. In recent years, chemoproteomics has been widely used for drug target screening and discovery due to its high-throughput, high accuracy, and sensitivity...

Full description

Saved in:
Bibliographic Details
Published in:Analytical chemistry (Washington) 2023-11, Vol.95 (47), p.17187-17192
Main Authors: Tang, Jiayue, Sun, Qi, Xie, Yuxin, Zheng, Qiuling, Ding, Ya
Format: Article
Language:English
Subjects:
Drug Delivery Systems
Drug resistance
Gold
Gold - chemistry
Iron
Iron oxides
Magnetism
Magnetite Nanoparticles - chemistry
Metal Nanoparticles - chemistry
Nanomaterials
Nanoparticles
Protein purification
Proteins
Proteomics
Screening
Target recognition
Therapeutic targets
Tracking
Viruses
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Drug-target recognition has great impacts on revealing mechanisms of pharmacological activities, especially drug resistance and off-target effects. In recent years, chemoproteomics has been widely used for drug target screening and discovery due to its high-throughput, high accuracy, and sensitivity. However, there still remain challenges on how to efficiently and unambiguously track target proteins from complex biological matrices. Herein, we report a drug target screening method based on virus-like iron-gold heterogeneous nanoparticles (Au@Fe O NPs). The unique structure of Au@Fe O NPs not only maintains the magnetism of Fe O NPs to facilitate protein enrichment and purification, but also increases drug modification by introducing more active sites on the surface of Au NPs. After coincubating the drug modified NPs with the cell lysate, the high loading of drug on the surface of Au@Fe O NPs was beneficial for capturing target proteins with low abundance. This well-designed heterogeneous nanomaterial provides a novel strategy for improving the efficiency and accuracy of affinity-based proteomics.
ISSN:0003-2700
1520-6882
DOI:10.1021/acs.analchem.3c01762